期刊
PROGRAMMING AND COMPUTER SOFTWARE
卷 44, 期 5, 页码 324-334出版社
PLEIADES PUBLISHING INC
DOI: 10.1134/S0361768818050031
关键词
-
资金
- Russian Foundation for Basic Research [18-07-00697a]
The problem of testing and debugging learning neural network systems is discussed. Differences of these systems from program implementations of algorithms from the point of view of testing are noted. Requirements to the testing systems are identified. Specific features of various neural network models from the point of view of selection of the testing technique and determination of tested parameters are analyzed. It is discussed how to get rid of the noted drawbacks of the systems under study. The discussion is illustrated by an example.
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